The Valence-Bond Quantum Monte Carlo Method
Slavko Radenkovi\'c, Dominik Domin (ICP), Julien Toulouse (LCT, IUF),, Beno\^it Bra\"ida (LCT)

TL;DR
The Valence-Bond Quantum Monte Carlo (VB-QMC) method combines classical valence-bond structures with quantum Monte Carlo techniques, enabling efficient and interpretable calculations of molecular ground and excited states.
Contribution
This paper introduces the VB-QMC approach, integrating valence-bond structures with QMC to improve efficiency and interpretability over traditional methods.
Findings
VB-VMC allows calculation of VB weights and resonance energies.
VB-QMC efficiently handles large systems on parallel computers.
Applications demonstrate its effectiveness for molecular ground and excited states.
Abstract
The VB-QMC method is presented in this chapter. It consists of using in quantum Monte Carlo (QMC) approaches with a wave function expressed as a usually short expansion of classical Valence-Bond (VB) structures supplemented by a Jastrow factor to account for dynamical correlation. Two variants exist: the VB-VMC (using variational Monte Carlo) and VB-DMC (using diffusion Monte Carlo) methods. QMC algorithms circumvent the notorious non-orthogonality issue of classical VB approaches, and allow highly efficient calculations on massively parallel machines. Calculation of VB weights and resonance energies are possible at the VB-VMC level, which makes VB-VMC a correlated method retaining all the interpretative capabilities of classical VB methods. Several recent applications are shown to illustrate the potential of this method as a modern alternative to classical VB methods to study ground…
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Taxonomy
TopicsAdvanced Chemical Physics Studies · Catalytic Processes in Materials Science · Spectroscopy and Quantum Chemical Studies
